Structure

Physi-Chem Properties

Molecular Weight:  422.21
Volume:  452.806
LogP:  6.1
LogD:  4.229
LogS:  -4.194
# Rotatable Bonds:  7
TPSA:  75.99
# H-Bond Aceptor:  5
# H-Bond Donor:  2
# Rings:  3
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.543
Synthetic Accessibility Score:  3.761
Fsp3:  0.346
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.645
MDCK Permeability:  1.4625077710661571e-05
Pgp-inhibitor:  0.386
Pgp-substrate:  0.017
Human Intestinal Absorption (HIA):  0.007
20% Bioavailability (F20%):  0.046
30% Bioavailability (F30%):  0.016

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.027
Plasma Protein Binding (PPB):  97.25144958496094%
Volume Distribution (VD):  0.822
Pgp-substrate:  1.7425096035003662%

ADMET: Metabolism

CYP1A2-inhibitor:  0.35
CYP1A2-substrate:  0.935
CYP2C19-inhibitor:  0.947
CYP2C19-substrate:  0.489
CYP2C9-inhibitor:  0.924
CYP2C9-substrate:  0.964
CYP2D6-inhibitor:  0.904
CYP2D6-substrate:  0.874
CYP3A4-inhibitor:  0.726
CYP3A4-substrate:  0.296

ADMET: Excretion

Clearance (CL):  15.399
Half-life (T1/2):  0.082

ADMET: Toxicity

hERG Blockers:  0.061
Human Hepatotoxicity (H-HT):  0.881
Drug-inuced Liver Injury (DILI):  0.667
AMES Toxicity:  0.016
Rat Oral Acute Toxicity:  0.741
Maximum Recommended Daily Dose:  0.774
Skin Sensitization:  0.511
Carcinogencity:  0.32
Eye Corrosion:  0.003
Eye Irritation:  0.581
Respiratory Toxicity:  0.94

Download Data

Data Type Select
General Info & Identifiers & Properties  
Structure MOL file  
Source Organisms  
Biological Activities  
Similar NPs/Drugs  

  Natural Product: NPC158285

Natural Product ID:  NPC158285
Common Name*:   RUVPNJSJTWTANE-LFCBYZEKSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  RUVPNJSJTWTANE-LFCBYZEKSA-N
Standard InCHI:  InChI=1S/C28H38O7/c1-15-13-20(34-22(30)16(15)2)25(5,31)28(33)12-11-26(32)18-14-21-27(35-21)9-6-7-19(29)24(27,4)17(18)8-10-23(26,28)3/h6-7,17-18,20-21,31-33H,8-14H2,1-5H3/t17-,18+,20+,21+,23-,24-,25-,26+,27+,28-/m0/s1
SMILES:  CC1=C(C)C(=O)O[C@H](C1)[C@@](C)([C@@]1(CC[C@]2([C@@H]3C[C@@H]4[C@@]5(CC=CC(=O)[C@]5(C)[C@H]3CC[C@]12C)O4)O)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   301751
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001125] Steroid lactones
          • [CHEMONTID:0001560] Withanolides and derivatives

*Note: the InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
**Note: the Chemical Classification was calculated by NPClassifier Version 1.5. Reference: PMID:34662515.

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO28734 Physalis peruviana Species Solanaceae Eukaryota n.a. n.a. n.a. PMID[28617598]
NPO28734 Physalis peruviana Species Solanaceae Eukaryota n.a. n.a. n.a. PMID[30649869]
NPO28734 Physalis peruviana Species Solanaceae Eukaryota Whole Fruits n.a. n.a. PMID[32159343]
NPO28734 Physalis peruviana Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28734 Physalis peruviana Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]

☑ Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  NP Quantity Composition/Concentration

Organism ID NP ID Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

☑ Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  Biological Activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT134 Cell Line SK-BR-3 Homo sapiens GI50 = 710.0 nM PMID[20438092]
NPT82 Cell Line MDA-MB-231 Homo sapiens GI50 = 240.0 nM PMID[20438092]
NPT83 Cell Line MCF7 Homo sapiens GI50 = 310.0 nM PMID[20438092]
NPT396 Cell Line T47D Homo sapiens GI50 = 160.0 nM PMID[20438092]
NPT2601 Individual Protein NF-kappaB inhibitor alpha Homo sapiens Inhibition = 46.8 % PMID[24900739]
NPT2601 Individual Protein NF-kappaB inhibitor alpha Homo sapiens IC50 = 18000.0 nM PMID[24900739]
NPT369 Cell Line ACHN Homo sapiens IC50 = 489.0 nM PMID[28257574]
NPT858 Cell Line LNCaP Homo sapiens IC50 = 60.0 nM PMID[28617598]
NPT1629 Cell Line CWR22R Homo sapiens IC50 = 70.0 nM PMID[28617598]
NPT369 Cell Line ACHN Homo sapiens IC50 = 460.0 nM PMID[28617598]
NPT387 Cell Line M14 Homo sapiens IC50 > 2000.0 nM PMID[28617598]
NPT170 Cell Line SK-MEL-28 Homo sapiens IC50 > 2000.0 nM PMID[28617598]
NPT859 Cell Line HFF Homo sapiens IC50 > 2000.0 nM PMID[28617598]
NPT20529 NON-MOLECULAR NON-PROTEIN TARGET n.a. GI50 = 420.0 nM PMID[20438092]
NPT2 Others Unspecified Ratio IC50 = 10.0 n.a. PMID[24900739]
NPT2 Others Unspecified IC50 = 980.0 nM PMID[24900739]

☑ Note for Activity Records:
☉ The quantitative biological activities were primarily integrated from ChEMBL (Version-30) database and were also directly collected from PubMed literature. PubMed PMID was provided as the reference link for each activity record.

  Chemically structural similarity: I. Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes 4,3285 NPs with experimentally-derived bioactivity available in NPASS)

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules. Tc lies between [0, 1] where '1' indicates the highest similarity. What is Tanimoto coefficient

●  The left chart: Distribution of similarity level between NPC158285 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

Similarity Score Similarity Level Natural Product ID

  Chemically structural similarity: II. Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC158285 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage

  Bioactivity similarity: Similar Natural Products in NPASS

Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.

Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data